How to improve score of an Binary Classification model (Attrition) with Imbalanced Data?

@psnh wrote:

Hi,

I am trying to create a binary classification model (Attrition) for an imbalance data using Random Forest - 0- 84K, 1- 16K. I have tried using class_weights = ‘balanced’, class_weights = {0:1, 1:5}, downsampling and oversampling but none of these seem to work. My metrics are usually in the below range:

Accuracy = 66%
Precision = 23%
Recall = 44%

I am not sure what else I can try to improve my metrics.
I would really appreciate any help on this! Thanks

Posts: 2

Participants: 2

Read full topic